Samba TV's Product Engineering team builds the software that puts our data to work — customer-facing platforms, internal tooling, and the APIs and services that connect them. Our engineers own meaningful systems end-to-end, ship production code every week, and work directly with product, data science, and go-to-market teams to deliver outcomes that matter.
As a Senior Full Stack Engineer, you will own features and systems across the stack — from web frontends to backend services, data pipelines, and cloud infrastructure. The backend work here is not just CRUD: it spans analytical SQL over large-scale TV viewership datasets, Firestore-backed caching pipelines, a multi-cloud environment (GCP and AWS), and a non-trivial auth model.
We care about engineers who think in systems, take ownership of correctness and reliability, and are comfortable doing the archaeology that real production codebases require.
- Own features end-to-end — frontend interfaces, backend services and APIs, data models, and the infrastructure that runs them
- Write and maintain analytical SQL over large-scale datasets (BigQuery); understand the domain well enough to extend measurement logic correctly
- Design and operate data pipelines and caching layers that sit between raw data and the product surface
- Maintain and evolve the auth and authorization model across Firebase, Auth0, and Firestore security rules
- Manage multi-cloud integrations across GCP (BigQuery, Cloud Functions, Firestore, Cloud Storage) and AWS (S3)
- Hold a high bar for testing, observability, and reliability — you instrument what you ship and own its behavior in production
- Participate in architecture reviews, contribute to the technical roadmap, and mentor junior engineers
- 5–8 years of experience building and operating production software
- Strong command of TypeScript or JavaScript across frontend and backend
- Experience building backend services and APIs — RESTful design, authentication patterns, token-based auth flows
- Comfortable writing non-trivial SQL — window functions, aggregations, query optimization; BigQuery or similar analytical datastore experience a plus
- Hands-on experience with cloud infrastructure: serverless or managed compute, object storage, secret management, scheduled jobs
- Familiarity with eventual consistency and cache invalidation patterns in distributed systems
- Proficient in agentic development — building or integrating LLM-powered workflows, tool-use patterns, or AI agents in production
- Comfortable doing archaeology in production codebases — reading unfamiliar code, identifying live vs. legacy paths, and making safe changes
- Experience with React and modern frontend architecture patterns
- Firebase platform experience: Cloud Functions, Firestore, Authentication
- GCP and/or AWS in production; comfort across both is a strong plus
- Background in ad tech, audience measurement, or CTV/OTT platforms
- Exposure to ad measurement concepts: reach, frequency, attribution, exposure modeling